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Private Cloud & On-Premises Deployments

The DQC Platform can be deployed in private cloud environments or fully on-premises—ensuring full data sovereignty and compliance with internal IT policies.

Deployment requirements

To run the DQC Platform in a private environment, the following infrastructure is required:

  • Kubernetes Cluster – Version ≥ 1.29.9

  • PostgreSQL Database – Version ≥ 14

Supported single sign-on (SSO) providers

The platform supports modern authentication methods:

  • Microsoft Entra (formerly Azure AD)

  • Okta

  • Any OpenID Connect-compliant provider

Bring your own LLM

You can connect your own LLM instance to the DQC Platform.

Supported Models:

  • GPT-4o (OpenAI / Azure)

  • Claude 3.5 Sonnet & Haiku (Anthropic)

  • LLaMA 3.2 (Azure Inference)

Connection parameters

OpenAI GPT-4o via Azure

OPENAI_API_INSTANCE=https://xxx.openai.azure.com
OPENAI_API_KEY=xxx
OPENAI_API_ENGINE=gpt-4o

Claude 3.5 Sonnet & Haiku via Anthropic:

ANTHROPIC_API_KEY=xxx

Claude via Amazon Bedrock:

BEDROCK_ACCESS_KEY_ID=xxx
BEDROCK_SECRET_ACCESS_KEY=xxx
BEDROCK_REGION=xxx

LLaMA 3.2 via Azure Inference:

AZURE_INFERENCE_ENDPOINT=xxx
AZURE_INFERENCE_CREDENTIAL=xxx

undefined Notes

Private cloud & On-Premises Deployments | DQC